Weed management presents a major challenge to vegetable growth. Accurate identification of weeds is essential for automated weeding. However, the wide variety of weed types and their complex ...

Hyperspectral images are rich in spectral and spatial information, providing a detailed and comprehensive description of objects, which makes hyperspectral image analysis technology essential in ...

Abstract: In the project of image classification, one model was built to sort images. By using the model which was built in the project, pictures can be classified effectively and quickly. At the ...

Our self-image plays a critical role in shaping our identity and influencing how we engage with the world. It encompasses not just our physical appearance, but also the way we perceive ourselves ...

Learn how to code your own neural network in Python, then deploy it in an Image Classification App using TensorFlow Lite.

This project demonstrates image classification using a pre-trained model (VGG16) through transfer learning. The CIFAR-10 dataset is used, which consists of 60,000 32x32 color images in 10 different ...